Results 111 to 120 of about 92,356 (267)

Endothelial miR‐15a/16‐1 Regulation of SYNE1 Mediates Structural and Functional Recovery after Traumatic Brain Injury

Advanced Science, EarlyView.
Endothelial miR‐15a/16‐1 deletion promotes long‐term recovery after traumatic brain injury by restoring SYNE1 expression. Enhanced endothelial SYNE1 preserves vascular integrity, protects white and gray matter, and improves neurological function. The endothelial miR‐15a/16‐1–SYNE1 axis emerges as a key regulator of neurovascular repair and a potential ...
Shun Li, Na Qiu, Chao Zhou, Andrew Ni, Ping Sun, Jia‐Jun Liu, Xin‐Lei Huang, Tian‐Qing Xiong, Yu‐Chi Zhang, Hai‐Zhou Liu, Xiao‐Tao Xu, Rui Wang, Shi‐Qing Zhang, Yu‐Xin Zhang, Silvia Liu, C. Edward Dixon, Jun Chen, Ke‐Jie Yin   +17 more
wiley   +1 more source

Qualitative Investigation of Challenges for Students with Learning Disabilities Attending Saudi Universities. [PDF]

Behav Sci (Basel)
Abed MG, Shackelford TK.
europepmc   +1 more source

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

Advanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj, Ashfak Nehal, Dmitrii Semenov, Roman Sotner, Sayani Majumdar   +4 more
wiley   +1 more source

Differentiated Impacts of EU Rural Development Measures: A Finite Mixture Evaluation of Italian Olive Farms

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT This paper examines the relationship between participation in the EU Rural Development Program and the economic performance of Italian olive farms using a finite‐mixture model with inverse‐probability‐weighted regression adjustment. Based on 2010–2022 FADN panel data, it estimates heterogeneous treatment effects while correcting for selection ...
Francesco Caracciolo, Marilena Furno
wiley   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

Advanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer, Muhammad Nabeel Asim, Shan Munir, Andreas Dengel   +3 more
wiley   +1 more source

Editorial: Modulators of Cross-Language Influences in Learning and Processing

Frontiers in Psychology, 2022
Tamar Degani, Anat Prior, Zofia Wodniecka   +2 more
doaj   +1 more source

Cognitive and Reading Profiles of Gifted Students with Learning Disabilities: Implications for Assessment and Identification. [PDF]

Behav Sci (Basel)
Padeliadu S, Voulgari A.
europepmc   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

Comment on 'Family support for children with learning disabilities to attain good academic performance: A qualitative study'. [PDF]

Malays Fam Physician
Üçok MS.
europepmc   +1 more source

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source